1398-Generative AI for Controllable Protein Sequence Design
This survey explores the revolutionary impact of generative AI on controllable protein sequence design, a field essential for advancing medicine and industrial chemistry. Traditional bioengineering methods are often limited by high costs and a narrow focus on known structures, whereas modern deep generative models allow researchers to explore vast, novel biochemical spaces with greater speed. The text categorizes design tasks into structure-to-sequence, function-to-sequence, and higher-level constraints, mapping these objectives to sophisticated frameworks like diffusion models and…
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